class_docstr: This object contains token ids, weight (multipliers:1.4) and textual inversion embedding info for a chunk of prompt.
  If a prompt is short, it is represented by one PromptChunk, otherwise, multiple are necessary.
  Each PromptChunk contains an exact amount of tokens - 77, which includes one for start and end token,
  so just 75 tokens from prompt.
code: def __init__(self):
      self.tokens = []
      self.multipliers = []
      self.fixes = []
  
imports: import math
  from collections import namedtuple
  import torch
  from modules import prompt_parser, devices, sd_hijack
  from modules.shared import opts
label_desc: Use image node_id 1 to create a new PromptChunk object  with example: obj = PromptChunk()